Overview

Dataset statistics

Number of variables20
Number of observations3395
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory490.8 KiB
Average record size in memory148.0 B

Variable types

Numeric20

Alerts

LeagueIndex is highly overall correlated with APM and 5 other fieldsHigh correlation
APM is highly overall correlated with LeagueIndex and 5 other fieldsHigh correlation
SelectByHotkeys is highly overall correlated with LeagueIndex and 4 other fieldsHigh correlation
AssignToHotkeys is highly overall correlated with LeagueIndex and 3 other fieldsHigh correlation
NumberOfPACs is highly overall correlated with LeagueIndex and 4 other fieldsHigh correlation
GapBetweenPACs is highly overall correlated with LeagueIndex and 3 other fieldsHigh correlation
ActionLatency is highly overall correlated with LeagueIndex and 5 other fieldsHigh correlation
TotalMapExplored is highly overall correlated with UniqueUnitsMadeHigh correlation
UniqueUnitsMade is highly overall correlated with TotalMapExplored and 1 other fieldsHigh correlation
ComplexUnitsMade is highly overall correlated with UniqueUnitsMade and 1 other fieldsHigh correlation
ComplexAbilitiesUsed is highly overall correlated with ComplexUnitsMadeHigh correlation
TotalHours is highly skewed (γ1 = 58.05263785)Skewed
GameID has unique valuesUnique
LeagueIndex has 167 (4.9%) zerosZeros
UniqueHotkeys has 189 (5.6%) zerosZeros
MinimapAttacks has 877 (25.8%) zerosZeros
MinimapRightClicks has 72 (2.1%) zerosZeros
ComplexUnitsMade has 2281 (67.2%) zerosZeros
ComplexAbilitiesUsed has 1552 (45.7%) zerosZeros

Reproduction

Analysis started2023-05-28 04:38:32.583908
Analysis finished2023-05-28 04:39:47.342330
Duration1 minute and 14.76 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

GameID
Real number (ℝ)

Distinct3395
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4805.0124
Minimum52
Maximum10095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:47.470845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile538.8
Q12464.5
median4874
Q37108.5
95-th percentile8978.3
Maximum10095
Range10043
Interquartile range (IQR)4644

Descriptive statistics

Standard deviation2719.9449
Coefficient of variation (CV)0.56606407
Kurtosis-1.1467229
Mean4805.0124
Median Absolute Deviation (MAD)2333
Skewness-0.0091468539
Sum16313017
Variance7398100
MonotonicityStrictly increasing
2023-05-27T21:39:47.679872image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 1
 
< 0.1%
6345 1
 
< 0.1%
6351 1
 
< 0.1%
6352 1
 
< 0.1%
6358 1
 
< 0.1%
6359 1
 
< 0.1%
6364 1
 
< 0.1%
6368 1
 
< 0.1%
6369 1
 
< 0.1%
6371 1
 
< 0.1%
Other values (3385) 3385
99.7%
ValueCountFrequency (%)
52 1
< 0.1%
55 1
< 0.1%
56 1
< 0.1%
57 1
< 0.1%
58 1
< 0.1%
60 1
< 0.1%
61 1
< 0.1%
72 1
< 0.1%
77 1
< 0.1%
81 1
< 0.1%
ValueCountFrequency (%)
10095 1
< 0.1%
10094 1
< 0.1%
10092 1
< 0.1%
10090 1
< 0.1%
10089 1
< 0.1%
10084 1
< 0.1%
10083 1
< 0.1%
10082 1
< 0.1%
10081 1
< 0.1%
10079 1
< 0.1%

LeagueIndex
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1840943
Minimum0
Maximum7
Zeros167
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:47.840898image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5173269
Coefficient of variation (CV)0.47653328
Kurtosis-0.3786819
Mean3.1840943
Median Absolute Deviation (MAD)1
Skewness-0.16335849
Sum10810
Variance2.3022808
MonotonicityNot monotonic
2023-05-27T21:39:47.975412image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 811
23.9%
4 806
23.7%
5 621
18.3%
2 553
16.3%
1 347
10.2%
0 167
 
4.9%
7 55
 
1.6%
6 35
 
1.0%
ValueCountFrequency (%)
0 167
 
4.9%
1 347
10.2%
2 553
16.3%
3 811
23.9%
4 806
23.7%
5 621
18.3%
6 35
 
1.0%
7 55
 
1.6%
ValueCountFrequency (%)
7 55
 
1.6%
6 35
 
1.0%
5 621
18.3%
4 806
23.7%
3 811
23.9%
2 553
16.3%
1 347
10.2%
0 167
 
4.9%

Age
Real number (ℝ)

Distinct29
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.281001
Minimum-1
Maximum44
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)1.6%
Memory size13.4 KiB
2023-05-27T21:39:48.145190image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile16
Q118
median21
Q324
95-th percentile29
Maximum44
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0580579
Coefficient of variation (CV)0.2376795
Kurtosis5.6781109
Mean21.281001
Median Absolute Deviation (MAD)3
Skewness-0.58544621
Sum72249
Variance25.583949
MonotonicityNot monotonic
2023-05-27T21:39:48.312705image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20 357
10.5%
21 344
10.1%
18 325
9.6%
22 314
9.2%
19 313
9.2%
23 259
7.6%
16 256
7.5%
17 248
7.3%
24 225
 
6.6%
25 168
 
4.9%
Other values (19) 586
17.3%
ValueCountFrequency (%)
-1 55
 
1.6%
16 256
7.5%
17 248
7.3%
18 325
9.6%
19 313
9.2%
20 357
10.5%
21 344
10.1%
22 314
9.2%
23 259
7.6%
24 225
6.6%
ValueCountFrequency (%)
44 1
 
< 0.1%
43 1
 
< 0.1%
41 3
 
0.1%
40 4
 
0.1%
39 3
 
0.1%
38 5
 
0.1%
37 5
 
0.1%
36 8
0.2%
35 17
0.5%
34 15
0.4%

HoursPerWeek
Real number (ℝ)

Distinct33
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.631811
Minimum-1
Maximum168
Zeros1
Zeros (%)< 0.1%
Negative56
Negative (%)1.6%
Memory size13.4 KiB
2023-05-27T21:39:48.484733image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile4
Q18
median12
Q320
95-th percentile40
Maximum168
Range169
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.057803
Coefficient of variation (CV)0.77136315
Kurtosis16.107504
Mean15.631811
Median Absolute Deviation (MAD)6
Skewness2.5913207
Sum53070
Variance145.39062
MonotonicityNot monotonic
2023-05-27T21:39:48.663764image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10 411
12.1%
8 390
11.5%
20 335
9.9%
12 331
9.7%
6 323
9.5%
28 280
8.2%
24 233
6.9%
16 223
6.6%
4 219
6.5%
14 181
 
5.3%
Other values (23) 469
13.8%
ValueCountFrequency (%)
-1 56
 
1.6%
0 1
 
< 0.1%
2 108
 
3.2%
4 219
6.5%
6 323
9.5%
8 390
11.5%
10 411
12.1%
12 331
9.7%
14 181
5.3%
16 223
6.6%
ValueCountFrequency (%)
168 1
 
< 0.1%
140 1
 
< 0.1%
112 1
 
< 0.1%
98 1
 
< 0.1%
96 2
 
0.1%
90 1
 
< 0.1%
84 2
 
0.1%
80 1
 
< 0.1%
72 1
 
< 0.1%
70 9
0.3%

TotalHours
Real number (ℝ)

Distinct238
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean944.28012
Minimum-1
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)1.7%
Memory size13.4 KiB
2023-05-27T21:39:48.887919image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile60
Q1300
median500
Q3800
95-th percentile1500
Maximum1000000
Range1000001
Interquartile range (IQR)500

Descriptive statistics

Standard deviation17172.539
Coefficient of variation (CV)18.185853
Kurtosis3378.2447
Mean944.28012
Median Absolute Deviation (MAD)250
Skewness58.052638
Sum3205831
Variance2.948961 × 108
MonotonicityNot monotonic
2023-05-27T21:39:49.101959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500 328
 
9.7%
400 213
 
6.3%
1000 210
 
6.2%
300 202
 
5.9%
600 187
 
5.5%
800 186
 
5.5%
700 170
 
5.0%
200 168
 
4.9%
730 123
 
3.6%
100 116
 
3.4%
Other values (228) 1492
43.9%
ValueCountFrequency (%)
-1 57
1.7%
3 1
 
< 0.1%
7 1
 
< 0.1%
10 5
 
0.1%
12 4
 
0.1%
16 1
 
< 0.1%
20 10
 
0.3%
21 1
 
< 0.1%
24 2
 
0.1%
25 4
 
0.1%
ValueCountFrequency (%)
1000000 1
 
< 0.1%
25000 1
 
< 0.1%
20000 1
 
< 0.1%
18000 1
 
< 0.1%
10260 1
 
< 0.1%
10000 1
 
< 0.1%
9000 1
 
< 0.1%
6000 2
0.1%
5000 4
0.1%
4000 4
0.1%

APM
Real number (ℝ)

Distinct3374
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.04695
Minimum22.0596
Maximum389.8314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:49.301987image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum22.0596
5-th percentile50.82048
Q179.9002
median108.0102
Q3142.7904
95-th percentile212.2362
Maximum389.8314
Range367.7718
Interquartile range (IQR)62.8902

Descriptive statistics

Standard deviation51.945291
Coefficient of variation (CV)0.44379877
Kurtosis2.2529259
Mean117.04695
Median Absolute Deviation (MAD)30.7692
Skewness1.2044502
Sum397374.39
Variance2698.3133
MonotonicityNot monotonic
2023-05-27T21:39:49.506020image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.718 2
 
0.1%
118.2726 2
 
0.1%
75.6648 2
 
0.1%
113.8716 2
 
0.1%
99.1626 2
 
0.1%
133.4052 2
 
0.1%
137.0124 2
 
0.1%
77.5512 2
 
0.1%
75.5628 2
 
0.1%
95.5704 2
 
0.1%
Other values (3364) 3375
99.4%
ValueCountFrequency (%)
22.0596 1
< 0.1%
24.6648 1
< 0.1%
24.9042 1
< 0.1%
25.4442 1
< 0.1%
25.6062 1
< 0.1%
28.1118 1
< 0.1%
29.8188 1
< 0.1%
29.8764 1
< 0.1%
30.1632 1
< 0.1%
30.6366 1
< 0.1%
ValueCountFrequency (%)
389.8314 1
< 0.1%
375.8664 1
< 0.1%
372.6426 1
< 0.1%
364.8504 1
< 0.1%
355.3518 1
< 0.1%
350.4114 1
< 0.1%
348.3576 1
< 0.1%
340.1982 1
< 0.1%
339.1524 1
< 0.1%
335.499 1
< 0.1%

SelectByHotkeys
Real number (ℝ)

Distinct3375
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0042986611
Minimum0
Maximum0.043088364
Zeros16
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:49.723454image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00030529677
Q10.0012578182
median0.0024995099
Q30.0051325726
95-th percentile0.014711899
Maximum0.043088364
Range0.043088364
Interquartile range (IQR)0.0038747544

Descriptive statistics

Standard deviation0.0052844276
Coefficient of variation (CV)1.2293194
Kurtosis11.325526
Mean0.0042986611
Median Absolute Deviation (MAD)0.0015296823
Skewness2.9653289
Sum14.593954
Variance2.7925175 × 10-5
MonotonicityNot monotonic
2023-05-27T21:39:49.926674image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
0.5%
0.0019753297 2
 
0.1%
0.0006671114 2
 
0.1%
0.0027815285 2
 
0.1%
0.0018947468 2
 
0.1%
0.0031194655 2
 
0.1%
0.0029509604 1
 
< 0.1%
0.0010637281 1
 
< 0.1%
0.0005948434 1
 
< 0.1%
0.0020052955 1
 
< 0.1%
Other values (3365) 3365
99.1%
ValueCountFrequency (%)
0 16
0.5%
6.272423915 × 10-61
 
< 0.1%
7.321501786 × 10-61
 
< 0.1%
1.057171854 × 10-51
 
< 0.1%
1.237807595 × 10-51
 
< 0.1%
1.336969891 × 10-51
 
< 0.1%
1.355233913 × 10-51
 
< 0.1%
1.542162729 × 10-51
 
< 0.1%
1.813433918 × 10-51
 
< 0.1%
1.897101229 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.043088364 1
< 0.1%
0.0425764619 1
< 0.1%
0.0422584994 1
< 0.1%
0.0384386496 1
< 0.1%
0.0384161124 1
< 0.1%
0.0375257025 1
< 0.1%
0.0371302797 1
< 0.1%
0.0364358936 1
< 0.1%
0.0358235226 1
< 0.1%
0.0356382492 1
< 0.1%

AssignToHotkeys
Real number (ℝ)

Distinct3361
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003735759
Minimum0
Maximum0.0017521902
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:50.129841image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.1106766 × 10-5
Q10.00020422565
median0.0003525679
Q30.00049883415
95-th percentile0.00075709911
Maximum0.0017521902
Range0.0017521902
Interquartile range (IQR)0.0002946085

Descriptive statistics

Standard deviation0.00022493362
Coefficient of variation (CV)0.60210955
Kurtosis2.8904878
Mean0.0003735759
Median Absolute Deviation (MAD)0.0001478345
Skewness1.1413171
Sum1.2682902
Variance5.0595132 × 10-8
MonotonicityNot monotonic
2023-05-27T21:39:50.329868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.2%
0.0003871967 3
 
0.1%
0.0001133273 2
 
0.1%
0.0003266551 2
 
0.1%
0.0005688124 2
 
0.1%
0.0003550506 2
 
0.1%
0.0003342842 2
 
0.1%
0.0005046307 2
 
0.1%
0.0004578755 2
 
0.1%
0.0001651949 2
 
0.1%
Other values (3351) 3370
99.3%
ValueCountFrequency (%)
0 6
0.2%
1.119068935 × 10-51
 
< 0.1%
1.229286522 × 10-51
 
< 0.1%
1.464300357 × 10-51
 
< 0.1%
1.567496395 × 10-51
 
< 0.1%
1.600614636 × 10-51
 
< 0.1%
1.64867776 × 10-51
 
< 0.1%
1.747640685 × 10-51
 
< 0.1%
1.897101229 × 10-51
 
< 0.1%
1.910438637 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.0017521902 1
< 0.1%
0.0017495681 1
< 0.1%
0.0016482988 1
< 0.1%
0.0016269244 1
< 0.1%
0.0015690377 1
< 0.1%
0.0015477625 1
< 0.1%
0.0015222338 1
< 0.1%
0.0014493687 1
< 0.1%
0.001387275 1
< 0.1%
0.0013755158 1
< 0.1%

UniqueHotkeys
Real number (ℝ)

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3646539
Minimum0
Maximum10
Zeros189
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:50.514894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q36
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3603331
Coefficient of variation (CV)0.54078356
Kurtosis-0.26218033
Mean4.3646539
Median Absolute Deviation (MAD)2
Skewness0.2082795
Sum14818
Variance5.5711722
MonotonicityNot monotonic
2023-05-27T21:39:50.666634image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 617
18.2%
4 578
17.0%
3 440
13.0%
6 404
11.9%
2 345
10.2%
7 278
8.2%
1 226
 
6.7%
0 189
 
5.6%
8 157
 
4.6%
10 110
 
3.2%
ValueCountFrequency (%)
0 189
 
5.6%
1 226
 
6.7%
2 345
10.2%
3 440
13.0%
4 578
17.0%
5 617
18.2%
6 404
11.9%
7 278
8.2%
8 157
 
4.6%
9 51
 
1.5%
ValueCountFrequency (%)
10 110
 
3.2%
9 51
 
1.5%
8 157
 
4.6%
7 278
8.2%
6 404
11.9%
5 617
18.2%
4 578
17.0%
3 440
13.0%
2 345
10.2%
1 226
 
6.7%

MinimapAttacks
Real number (ℝ)

Distinct2471
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8306729 × 10-5
Minimum0
Maximum0.0030193465
Zeros877
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:50.850678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.9929724 × 10-5
Q30.0001188536
95-th percentile0.00039500527
Maximum0.0030193465
Range0.0030193465
Interquartile range (IQR)0.0001188536

Descriptive statistics

Standard deviation0.00016587111
Coefficient of variation (CV)1.6872814
Kurtosis45.541634
Mean9.8306729 × 10-5
Median Absolute Deviation (MAD)3.9929724 × 10-5
Skewness4.8191625
Sum0.33375135
Variance2.7513226 × 10-8
MonotonicityNot monotonic
2023-05-27T21:39:51.046708image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 877
 
25.8%
1.332267519 × 10-53
 
0.1%
1.501772091 × 10-52
 
0.1%
0.000133547 2
 
0.1%
9.601024109 × 10-52
 
0.1%
3.858322401 × 10-52
 
0.1%
7.870297497 × 10-52
 
0.1%
1.563574958 × 10-52
 
0.1%
1.193773279 × 10-52
 
0.1%
3.23666494 × 10-52
 
0.1%
Other values (2461) 2499
73.6%
ValueCountFrequency (%)
0 877
25.8%
4.859180936 × 10-61
 
< 0.1%
5.179736869 × 10-61
 
< 0.1%
5.196100846 × 10-61
 
< 0.1%
5.576996007 × 10-61
 
< 0.1%
6.085686465 × 10-61
 
< 0.1%
6.228511635 × 10-61
 
< 0.1%
6.257509011 × 10-61
 
< 0.1%
6.745271565 × 10-61
 
< 0.1%
6.838074398 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.0030193465 1
< 0.1%
0.0019738465 1
< 0.1%
0.0015763381 1
< 0.1%
0.0015300546 1
< 0.1%
0.0014888394 1
< 0.1%
0.0012442415 1
< 0.1%
0.0012422892 1
< 0.1%
0.0012416089 1
< 0.1%
0.0011723954 1
< 0.1%
0.0011635308 1
< 0.1%

MinimapRightClicks
Real number (ℝ)

Distinct3302
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00038743629
Minimum0
Maximum0.0040408028
Zeros72
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:51.259358image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.0126177 × 10-5
Q10.00014008595
median0.0002814893
Q30.00051409475
95-th percentile0.0011100655
Maximum0.0040408028
Range0.0040408028
Interquartile range (IQR)0.0003740088

Descriptive statistics

Standard deviation0.00037700081
Coefficient of variation (CV)0.97306532
Kurtosis11.582389
Mean0.00038743629
Median Absolute Deviation (MAD)0.0001668989
Skewness2.56382
Sum1.3153462
Variance1.4212961 × 10-7
MonotonicityNot monotonic
2023-05-27T21:39:51.472203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
2.1%
2.485336515 × 10-52
 
0.1%
0.0002279592 2
 
0.1%
0.0003567606 2
 
0.1%
0.0003958828 2
 
0.1%
0.0001461561 2
 
0.1%
0.000155825 2
 
0.1%
0.0002383506 2
 
0.1%
0.0001657903 2
 
0.1%
0.0004083517 2
 
0.1%
Other values (3292) 3305
97.3%
ValueCountFrequency (%)
0 72
2.1%
5.495592535 × 10-61
 
< 0.1%
6.306760848 × 10-61
 
< 0.1%
8.452228007 × 10-61
 
< 0.1%
8.535919148 × 10-61
 
< 0.1%
8.775932882 × 10-61
 
< 0.1%
9.001872389 × 10-61
 
< 0.1%
9.122090053 × 10-61
 
< 0.1%
1.005833836 × 10-51
 
< 0.1%
1.051259409 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.0040408028 1
< 0.1%
0.003687668 1
< 0.1%
0.0035517254 1
< 0.1%
0.003328177 1
< 0.1%
0.003030303 1
< 0.1%
0.0028211806 1
< 0.1%
0.002812315 1
< 0.1%
0.002499148 1
< 0.1%
0.002416182 1
< 0.1%
0.0023836512 1
< 0.1%

NumberOfPACs
Real number (ℝ)

Distinct3386
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0034628875
Minimum0.0006789964
Maximum0.0079706424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:51.692562image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0006789964
5-th percentile0.0019844152
Q10.0027537049
median0.003395421
Q30.0040271029
95-th percentile0.0052667217
Maximum0.0079706424
Range0.007291646
Interquartile range (IQR)0.001273398

Descriptive statistics

Standard deviation0.00099229281
Coefficient of variation (CV)0.28655069
Kurtosis0.62032775
Mean0.0034628875
Median Absolute Deviation (MAD)0.0006388025
Skewness0.5503794
Sum11.756503
Variance9.8464502 × 10-7
MonotonicityNot monotonic
2023-05-27T21:39:51.897197image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0039893617 2
 
0.1%
0.003125 2
 
0.1%
0.003395421 2
 
0.1%
0.0040214477 2
 
0.1%
0.004219933 2
 
0.1%
0.0034568175 2
 
0.1%
0.0031914894 2
 
0.1%
0.0032210696 2
 
0.1%
0.0017271157 2
 
0.1%
0.0038835296 1
 
< 0.1%
Other values (3376) 3376
99.4%
ValueCountFrequency (%)
0.0006789964 1
< 0.1%
0.0008468052 1
< 0.1%
0.0008609272 1
< 0.1%
0.0008865248 1
< 0.1%
0.0009033904 1
< 0.1%
0.0009864603 1
< 0.1%
0.000993972 1
< 0.1%
0.0011841781 1
< 0.1%
0.0011850544 1
< 0.1%
0.0011942959 1
< 0.1%
ValueCountFrequency (%)
0.0079706424 1
< 0.1%
0.0077803632 1
< 0.1%
0.0075689255 1
< 0.1%
0.0071913566 1
< 0.1%
0.0071112516 1
< 0.1%
0.007034286 1
< 0.1%
0.0069713727 1
< 0.1%
0.0069586044 1
< 0.1%
0.0069393781 1
< 0.1%
0.0069022115 1
< 0.1%

GapBetweenPACs
Real number (ℝ)

Distinct3358
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.361562
Minimum6.6667
Maximum237.1429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:52.793684image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum6.6667
5-th percentile19.84576
Q128.95775
median36.7235
Q348.2905
95-th percentile71.80703
Maximum237.1429
Range230.4762
Interquartile range (IQR)19.33275

Descriptive statistics

Standard deviation17.15357
Coefficient of variation (CV)0.42499769
Kurtosis9.3152426
Mean40.361562
Median Absolute Deviation (MAD)9.2972
Skewness1.9082826
Sum137027.5
Variance294.24498
MonotonicityNot monotonic
2023-05-27T21:39:52.992893image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 3
 
0.1%
23.7419 2
 
0.1%
46.3784 2
 
0.1%
36.3478 2
 
0.1%
29.5476 2
 
0.1%
48.4444 2
 
0.1%
38.9804 2
 
0.1%
46.8235 2
 
0.1%
33.0233 2
 
0.1%
38.4519 2
 
0.1%
Other values (3348) 3374
99.4%
ValueCountFrequency (%)
6.6667 1
< 0.1%
8.1642 1
< 0.1%
9.2871 1
< 0.1%
9.4756 1
< 0.1%
9.9355 1
< 0.1%
10.2857 1
< 0.1%
10.6419 1
< 0.1%
10.8571 1
< 0.1%
11.3287 1
< 0.1%
11.3597 1
< 0.1%
ValueCountFrequency (%)
237.1429 1
< 0.1%
160.9535 1
< 0.1%
156.6234 1
< 0.1%
154.8 1
< 0.1%
150.2857 1
< 0.1%
134.1128 1
< 0.1%
130.2176 1
< 0.1%
129.9729 1
< 0.1%
126.2353 1
< 0.1%
122.8 1
< 0.1%

ActionLatency
Real number (ℝ)

Distinct3367
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.739403
Minimum24.0936
Maximum176.3721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:53.187021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum24.0936
5-th percentile37.94226
Q150.4466
median60.9318
Q373.6813
95-th percentile97.95568
Maximum176.3721
Range152.2785
Interquartile range (IQR)23.2347

Descriptive statistics

Standard deviation19.238869
Coefficient of variation (CV)0.30183635
Kurtosis2.6354842
Mean63.739403
Median Absolute Deviation (MAD)11.3913
Skewness1.1516555
Sum216395.27
Variance370.13408
MonotonicityNot monotonic
2023-05-27T21:39:53.389133image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.6667 2
 
0.1%
72 2
 
0.1%
50.2857 2
 
0.1%
78.56 2
 
0.1%
93.3333 2
 
0.1%
44.3564 2
 
0.1%
64.9524 2
 
0.1%
50.5 2
 
0.1%
82.963 2
 
0.1%
65.8605 2
 
0.1%
Other values (3357) 3375
99.4%
ValueCountFrequency (%)
24.0936 1
< 0.1%
24.3556 1
< 0.1%
24.6326 1
< 0.1%
26.0918 1
< 0.1%
26.6907 1
< 0.1%
27.5645 1
< 0.1%
28.2243 1
< 0.1%
28.7342 1
< 0.1%
28.8191 1
< 0.1%
29.0302 1
< 0.1%
ValueCountFrequency (%)
176.3721 1
< 0.1%
173.5556 1
< 0.1%
168.9249 1
< 0.1%
165.5686 1
< 0.1%
165.1613 1
< 0.1%
161.6364 1
< 0.1%
161.1973 1
< 0.1%
150.2951 1
< 0.1%
149.6923 1
< 0.1%
147.5306 1
< 0.1%

ActionsInPAC
Real number (ℝ)

Distinct3223
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2729885
Minimum2.0389
Maximum18.5581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:53.605368image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2.0389
5-th percentile3.26481
Q14.27285
median5.0955
Q36.0336
95-th percentile7.75965
Maximum18.5581
Range16.5192
Interquartile range (IQR)1.76075

Descriptive statistics

Standard deviation1.4948355
Coefficient of variation (CV)0.28348924
Kurtosis7.3297111
Mean5.2729885
Median Absolute Deviation (MAD)0.8645
Skewness1.5990491
Sum17901.796
Variance2.2345332
MonotonicityNot monotonic
2023-05-27T21:39:53.811464image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4
 
0.1%
6 4
 
0.1%
5 4
 
0.1%
5.4 3
 
0.1%
5.75 3
 
0.1%
4.3696 3
 
0.1%
6.6667 3
 
0.1%
4.25 3
 
0.1%
4.75 3
 
0.1%
4.9231 3
 
0.1%
Other values (3213) 3362
99.0%
ValueCountFrequency (%)
2.0389 1
< 0.1%
2.1006 1
< 0.1%
2.2037 1
< 0.1%
2.3016 1
< 0.1%
2.3246 1
< 0.1%
2.3955 1
< 0.1%
2.3969 1
< 0.1%
2.4218 1
< 0.1%
2.4254 1
< 0.1%
2.454 1
< 0.1%
ValueCountFrequency (%)
18.5581 1
< 0.1%
17.7619 1
< 0.1%
17.7059 1
< 0.1%
14.6071 1
< 0.1%
14.3433 1
< 0.1%
13.7647 1
< 0.1%
13.7353 1
< 0.1%
13.3953 1
< 0.1%
12.9652 1
< 0.1%
12.9079 1
< 0.1%

TotalMapExplored
Real number (ℝ)

Distinct52
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.131664
Minimum5
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:54.023348image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q117
median22
Q327
95-th percentile35
Maximum58
Range53
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.4317192
Coefficient of variation (CV)0.33579577
Kurtosis0.81236247
Mean22.131664
Median Absolute Deviation (MAD)5
Skewness0.62999733
Sum75137
Variance55.23045
MonotonicityNot monotonic
2023-05-27T21:39:54.236525image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 194
 
5.7%
23 191
 
5.6%
22 184
 
5.4%
24 176
 
5.2%
18 175
 
5.2%
25 172
 
5.1%
16 156
 
4.6%
26 153
 
4.5%
17 153
 
4.5%
15 152
 
4.5%
Other values (42) 1689
49.7%
ValueCountFrequency (%)
5 4
 
0.1%
6 4
 
0.1%
7 12
 
0.4%
8 17
 
0.5%
9 25
 
0.7%
10 51
1.5%
11 72
2.1%
12 95
2.8%
13 116
3.4%
14 125
3.7%
ValueCountFrequency (%)
58 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%
53 2
0.1%
52 2
0.1%
51 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
48 4
0.1%
47 4
0.1%

WorkersMade
Real number (ℝ)

Distinct3256
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010316851
Minimum7.6982 × 10-5
Maximum0.0051493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:54.442435image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum7.6982 × 10-5
5-th percentile0.000436558
Q10.00068296
median0.00090524
Q30.00125865
95-th percentile0.00204269
Maximum0.0051493
Range0.005072318
Interquartile range (IQR)0.00057569

Descriptive statistics

Standard deviation0.00051900752
Coefficient of variation (CV)0.50306778
Kurtosis4.6244033
Mean0.0010316851
Median Absolute Deviation (MAD)0.0002657
Skewness1.6614045
Sum3.5025709
Variance2.6936881 × 10-7
MonotonicityNot monotonic
2023-05-27T21:39:54.654217image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001134 4
 
0.1%
0.0010286 3
 
0.1%
0.0011593 3
 
0.1%
0.0014727 3
 
0.1%
0.0010201 3
 
0.1%
0.0010148 3
 
0.1%
0.0012684 2
 
0.1%
0.00081169 2
 
0.1%
0.0011861 2
 
0.1%
0.0012299 2
 
0.1%
Other values (3246) 3368
99.2%
ValueCountFrequency (%)
7.6982 × 10-51
< 0.1%
0.00016083 1
< 0.1%
0.00016528 1
< 0.1%
0.00016596 1
< 0.1%
0.0001825 1
< 0.1%
0.00019393 1
< 0.1%
0.00022369 1
< 0.1%
0.00022557 1
< 0.1%
0.00022615 1
< 0.1%
0.00023337 1
< 0.1%
ValueCountFrequency (%)
0.0051493 1
< 0.1%
0.0043069 1
< 0.1%
0.0041204 1
< 0.1%
0.0040254 1
< 0.1%
0.0038449 1
< 0.1%
0.0038193 1
< 0.1%
0.0037372 1
< 0.1%
0.0036547 1
< 0.1%
0.0035501 1
< 0.1%
0.0034166 1
< 0.1%

UniqueUnitsMade
Real number (ℝ)

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5340206
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:54.825075image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median6
Q38
95-th percentile10
Maximum13
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8576968
Coefficient of variation (CV)0.28431143
Kurtosis-0.06714959
Mean6.5340206
Median Absolute Deviation (MAD)1
Skewness0.18832427
Sum22183
Variance3.4510373
MonotonicityNot monotonic
2023-05-27T21:39:54.967141image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 768
22.6%
7 721
21.2%
5 499
14.7%
8 446
13.1%
9 299
 
8.8%
4 277
 
8.2%
3 160
 
4.7%
10 137
 
4.0%
11 54
 
1.6%
2 19
 
0.6%
Other values (2) 15
 
0.4%
ValueCountFrequency (%)
2 19
 
0.6%
3 160
 
4.7%
4 277
 
8.2%
5 499
14.7%
6 768
22.6%
7 721
21.2%
8 446
13.1%
9 299
 
8.8%
10 137
 
4.0%
11 54
 
1.6%
ValueCountFrequency (%)
13 4
 
0.1%
12 11
 
0.3%
11 54
 
1.6%
10 137
 
4.0%
9 299
 
8.8%
8 446
13.1%
7 721
21.2%
6 768
22.6%
5 499
14.7%
4 277
 
8.2%

ComplexUnitsMade
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1110
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9432733 × 10-5
Minimum0
Maximum0.0009022744
Zeros2281
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:55.149910image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.5540298 × 10-5
95-th percentile0.00029833538
Maximum0.0009022744
Range0.0009022744
Interquartile range (IQR)8.5540298 × 10-5

Descriptive statistics

Standard deviation0.00011109056
Coefficient of variation (CV)1.8691815
Kurtosis6.1090588
Mean5.9432733 × 10-5
Median Absolute Deviation (MAD)0
Skewness2.301404
Sum0.20177413
Variance1.2341113 × 10-8
MonotonicityNot monotonic
2023-05-27T21:39:55.349880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2281
67.2%
0.0002571415 2
 
0.1%
4.480286738 × 10-52
 
0.1%
0.0003315807 2
 
0.1%
0.0001542258 2
 
0.1%
4.689903576 × 10-52
 
0.1%
0.0001860984 1
 
< 0.1%
0.0002556092 1
 
< 0.1%
0.0001932051 1
 
< 0.1%
7.319113342 × 10-51
 
< 0.1%
Other values (1100) 1100
32.4%
ValueCountFrequency (%)
0 2281
67.2%
3.248440748 × 10-61
 
< 0.1%
7.849047126 × 10-61
 
< 0.1%
7.859410859 × 10-61
 
< 0.1%
8.638562543 × 10-61
 
< 0.1%
9.145449224 × 10-61
 
< 0.1%
9.523809524 × 10-61
 
< 0.1%
1.128566269 × 10-51
 
< 0.1%
1.151383964 × 10-51
 
< 0.1%
1.171563803 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.0009022744 1
< 0.1%
0.0007855965 1
< 0.1%
0.0007813838 1
< 0.1%
0.0006767395 1
< 0.1%
0.0006729702 1
< 0.1%
0.0006575221 1
< 0.1%
0.0006055797 1
< 0.1%
0.0006032483 1
< 0.1%
0.0005917963 1
< 0.1%
0.0005911786 1
< 0.1%

ComplexAbilitiesUsed
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1828
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00014187843
Minimum0
Maximum0.0030837
Zeros1552
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-05-27T21:39:55.547226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.0282 × 10-5
Q30.00018137
95-th percentile0.000625426
Maximum0.0030837
Range0.0030837
Interquartile range (IQR)0.00018137

Descriptive statistics

Standard deviation0.00026524698
Coefficient of variation (CV)1.869537
Kurtosis21.542164
Mean0.00014187843
Median Absolute Deviation (MAD)2.0282 × 10-5
Skewness3.7788546
Sum0.48167728
Variance7.0355959 × 10-8
MonotonicityNot monotonic
2023-05-27T21:39:55.746997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1552
45.7%
0.00013357 2
 
0.1%
2.0282 × 10-52
 
0.1%
6.4092 × 10-52
 
0.1%
0.00014976 2
 
0.1%
0.00040327 2
 
0.1%
7.1834 × 10-52
 
0.1%
0.00016388 2
 
0.1%
0.00050921 2
 
0.1%
0.00017608 2
 
0.1%
Other values (1818) 1825
53.8%
ValueCountFrequency (%)
0 1552
45.7%
5.1961 × 10-61
 
< 0.1%
6.1083 × 10-61
 
< 0.1%
6.4201 × 10-61
 
< 0.1%
6.575 × 10-61
 
< 0.1%
6.6848 × 10-61
 
< 0.1%
6.9721 × 10-61
 
< 0.1%
7.0793 × 10-61
 
< 0.1%
7.3449 × 10-61
 
< 0.1%
7.3499 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.0030837 1
< 0.1%
0.0026847 1
< 0.1%
0.0026637 1
< 0.1%
0.0024434 1
< 0.1%
0.0023508 1
< 0.1%
0.0022169 1
< 0.1%
0.0021861 1
< 0.1%
0.0019482 1
< 0.1%
0.0018835 1
< 0.1%
0.0018434 1
< 0.1%

Interactions

2023-05-27T21:39:42.963073image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:33.215846image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:37.836446image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:41.658935image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:45.351333image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.028482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:52.492253image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:56.026201image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:59.732306image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.340924image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:06.712545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.217513image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:14.353614image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:17.935135image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:21.343289image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.076455image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:28.732443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:32.756190image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:36.171786image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:39.596173image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:43.131595image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:33.402586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:38.037395image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:41.829911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:45.524372image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.190995image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:52.662022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:56.188763image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:59.903832image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.499436image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:06.878567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.393616image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:14.528447image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:18.092660image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:21.521809image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.249489image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:28.901958image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:32.926006image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:36.333813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:39.756206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:43.314627image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:34.542819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:38.276036image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:42.010026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:45.713409image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.388978image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:52.847051image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:56.361798image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:00.089856image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.671473image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:07.074312image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.590667image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:14.721967image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:18.265707image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:21.716503image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.439043image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:29.089682image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:33.111175image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:36.510330image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:39.928732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:43.474661image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:34.702471image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:38.444145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:42.167536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:45.879929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.553005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:53.011521image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:56.513830image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:00.267880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.821400image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:07.231536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.762701image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:14.886370image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:18.417971image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:21.888668image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.608559image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:29.256003image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:33.269218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:36.666374image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:40.081767image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:43.665712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:34.881217image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:38.644175image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:42.344575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:46.061979image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.729043image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:53.196694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:57.032438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:00.458916image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.996637image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:07.415624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.956733image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:15.070058image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:18.590997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:22.083570image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.816192image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:29.437042image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:33.445248image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:36.843179image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:40.254801image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:43.839738image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:35.048919image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:38.830077image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:42.517616image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:46.258006image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:49.898654image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:53.369247image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:57.197762image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:00.633939image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:04.160263image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:07.582972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:11.134767image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:15.245092image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:18.751018image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:22.263472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:25.988218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:29.607559image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:33.611277image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:37.011698image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:40.418874image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:44.025262image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:35.230088image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:39.029859image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:42.698135image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:46.453041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-27T21:38:53.550297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-27T21:39:00.820597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:04.333311image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:07.762001image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:11.323290image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-27T21:39:18.919540image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-27T21:39:26.170257image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-27T21:38:48.840432image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:52.318741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:55.846147image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:38:59.561275image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:03.155892image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:06.541028image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:10.041992image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:14.164579image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:17.751351image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:21.147255image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:24.888864image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:28.546409image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:32.582160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:35.998750image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:39.411132image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-27T21:39:42.789802image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-05-27T21:39:55.970311image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
GameIDLeagueIndexAgeHoursPerWeekTotalHoursAPMSelectByHotkeysAssignToHotkeysUniqueHotkeysMinimapAttacksMinimapRightClicksNumberOfPACsGapBetweenPACsActionLatencyActionsInPACTotalMapExploredWorkersMadeUniqueUnitsMadeComplexUnitsMadeComplexAbilitiesUsed
GameID1.0000.0710.044-0.0720.0190.1150.1050.0910.1130.0720.0330.081-0.107-0.0900.0520.029-0.0090.021-0.020-0.020
LeagueIndex0.0711.000-0.1260.1630.4230.6760.5950.5180.3520.3660.2380.606-0.552-0.6870.1690.2280.3380.1310.1630.167
Age0.044-0.1261.000-0.1490.027-0.222-0.182-0.1120.0020.050-0.035-0.1840.1350.216-0.085-0.005-0.0860.036-0.037-0.046
HoursPerWeek-0.0720.163-0.1491.0000.4770.1950.1630.0840.0240.0040.0170.120-0.100-0.1560.0960.0460.0670.0340.0620.032
TotalHours0.0190.4230.0270.4771.0000.3360.2680.1800.1140.1390.1110.241-0.234-0.2980.1490.1340.1750.0960.0960.087
APM0.1150.676-0.2220.1950.3361.0000.8200.5610.3640.2930.3410.682-0.655-0.8210.4740.2790.4590.1360.1870.119
SelectByHotkeys0.1050.595-0.1820.1630.2680.8201.0000.6600.3860.2500.2000.546-0.436-0.6070.2170.2090.3460.0970.1500.115
AssignToHotkeys0.0910.518-0.1120.0840.1800.5610.6601.0000.4170.2570.1770.474-0.408-0.5050.1110.2160.2510.1630.1890.232
UniqueHotkeys0.1130.3520.0020.0240.1140.3640.3860.4171.0000.2120.1340.367-0.261-0.3410.0090.2770.1360.2280.1460.094
MinimapAttacks0.0720.3660.0500.0040.1390.2930.2500.2570.2121.0000.3190.205-0.300-0.2530.1660.1990.1170.1390.0780.055
MinimapRightClicks0.0330.238-0.0350.0170.1110.3410.2000.1770.1340.3191.0000.163-0.286-0.2510.3450.1990.2610.1860.1320.110
NumberOfPACs0.0810.606-0.1840.1200.2410.6820.5460.4740.3670.2050.1631.000-0.501-0.865-0.1570.4850.3140.3140.2210.196
GapBetweenPACs-0.107-0.5520.135-0.100-0.234-0.655-0.436-0.408-0.261-0.300-0.286-0.5011.0000.665-0.387-0.093-0.255-0.064-0.059-0.075
ActionLatency-0.090-0.6870.216-0.156-0.298-0.821-0.607-0.505-0.341-0.253-0.251-0.8650.6651.000-0.167-0.362-0.352-0.203-0.194-0.184
ActionsInPAC0.0520.169-0.0850.0960.1490.4740.2170.1110.0090.1660.345-0.157-0.387-0.1671.000-0.0960.330-0.0930.065-0.024
TotalMapExplored0.0290.228-0.0050.0460.1340.2790.2090.2160.2770.1990.1990.485-0.093-0.362-0.0961.0000.1730.5860.3860.282
WorkersMade-0.0090.338-0.0860.0670.1750.4590.3460.2510.1360.1170.2610.314-0.255-0.3520.3300.1731.0000.1420.2290.118
UniqueUnitsMade0.0210.1310.0360.0340.0960.1360.0970.1630.2280.1390.1860.314-0.064-0.203-0.0930.5860.1421.0000.5040.436
ComplexUnitsMade-0.0200.163-0.0370.0620.0960.1870.1500.1890.1460.0780.1320.221-0.059-0.1940.0650.3860.2290.5041.0000.653
ComplexAbilitiesUsed-0.0200.167-0.0460.0320.0870.1190.1150.2320.0940.0550.1100.196-0.075-0.184-0.0240.2820.1180.4360.6531.000

Missing values

2023-05-27T21:39:46.645733image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-05-27T21:39:47.145296image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

GameIDLeagueIndexAgeHoursPerWeekTotalHoursAPMSelectByHotkeysAssignToHotkeysUniqueHotkeysMinimapAttacksMinimapRightClicksNumberOfPACsGapBetweenPACsActionLatencyActionsInPACTotalMapExploredWorkersMadeUniqueUnitsMadeComplexUnitsMadeComplexAbilitiesUsed
052427103000143.71800.0035150.00022070.0001100.0003920.00484932.667740.86734.7508280.00139760.0000000.000000
155423105000129.23220.0033040.00025940.0002940.0004320.00430732.919442.34544.8434220.00119350.0000000.000208
2563301020069.96120.0011010.00033640.0002940.0004610.00292644.647575.35484.0430220.00074560.0000000.000189
35721920400107.60160.0010340.00021310.0000530.0005430.00378329.220353.73524.9155190.00042670.0000000.000384
45823210500122.89080.0011360.00032720.0000000.0013290.00236822.688562.08139.3740150.00117440.0000000.000019
56012767044.45700.0009780.00025520.0000000.0000000.00242576.440598.77193.0965160.00037260.0000000.000000
661021824046.99620.0008200.00016960.0000000.0000450.00198894.022790.53114.1017150.00057350.0000000.000000
7726174210000212.60220.0090400.00067660.0011640.0012530.00495224.611741.76716.6104450.00227790.0001290.000249
877320142708117.48840.0029440.00052720.0000190.0004140.00539952.014046.43213.3746290.00103570.0002730.000470
98131824800155.98560.0050540.00052480.0000250.0003990.00356924.463252.15386.5664270.00131060.0000000.000000
GameIDLeagueIndexAgeHoursPerWeekTotalHoursAPMSelectByHotkeysAssignToHotkeysUniqueHotkeysMinimapAttacksMinimapRightClicksNumberOfPACsGapBetweenPACsActionLatencyActionsInPACTotalMapExploredWorkersMadeUniqueUnitsMadeComplexUnitsMadeComplexAbilitiesUsed
3385100797-1-1-1254.21880.0166080.00078860.0009260.0003300.00540814.919135.99215.7205280.00112860.0000000.000000
3386100817-1-1-1339.15240.0330580.001017100.0004770.0005090.00460921.638937.18626.7103160.00104930.0000000.000000
3387100827-1-1-1310.04160.0268730.001278100.0003190.0004790.00551716.544633.81745.7350220.00092280.0000000.000000
3388100837-1-1-1288.76080.0240220.00062860.0003500.0010510.00558019.010830.08665.3831300.00076150.0000000.000652
3389100847-1-1-1151.40460.0097320.00094960.0000280.0001560.00436327.465843.80524.3312230.00094960.0000000.000099
3390100897-1-1-1259.62960.0204250.00074390.0006210.0001460.00455518.605942.83426.2754460.00087750.0000000.000000
3391100907-1-1-1314.67000.0280430.001157100.0002460.0010830.00425914.302336.11567.1965160.00078840.0000000.000000
3392100927-1-1-1299.42820.0283410.00086070.0003380.0001690.00443912.402839.51566.3979190.00126040.0000000.000000
3393100947-1-1-1375.86640.0364360.00059450.0002040.0007800.00434611.691034.85477.9615150.00061360.0000000.000631
3394100957-1-1-1348.35760.0298550.00081140.0002240.0013150.00556620.053733.51426.3719270.00156670.0004570.000895